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Published By: Oracle Corp.     Published Date: Oct 15, 2012
Please join Tom Kyte, of the AskTom column and Senior Technical Architect at Oracle, to learn about the threats every IT Database and Security administrator needs to be aware of. Tom will also discuss best practices for securing your databases.
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database security, compliance, sql, it security, oracle
    
Oracle Corp.
Published By: Oracle Corp.     Published Date: Oct 15, 2012
Steve Moyle, CTO of Oracle Database Firewall, explains the best practices for efficient database activity monitoring, alerting and blocking that can help prevent SQL injection attacks and other threats from reaching your enterprise databases.
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oracle, sql injection, database activity monitoring, database security, it security
    
Oracle Corp.
Published By: Oracle Corp.     Published Date: Oct 15, 2012
Hear from Tammy Bednar, Senior Principal Product Manager at Oracle as she discusses best practices for database auditing, alerting and reporting across Oracle and non-Oracle databases using Oracle Audit Vault.
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database auditing, audits, compliance, database, oracle, database security
    
Oracle Corp.
Published By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized
    
SRC,LLC
Published By: Achievers     Published Date: Jan 17, 2014
Knowledge and strategic relationships fuel many organizations in today’s rapidly changing, global economy. As such, organizations need to leverage the individuals—and their networks—that possess the most relevant knowledge, whether they are current employees or are only loosely connected to the organization. To do this, organizations should create and leverage peer collaboration networks that enable them to identify and connect with individuals who have the unique skills, knowledge, and capabilities these organizations need. Bersin’s Research, Why Reputations and Networks Matter in the Open Talent Economy, indicates that this approach works in driving value—organizations that have effectively used internal reputation networks and profile databases have been able to increase key metrics such as employees’ time to productivity and innovation levels.
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talent management, employee enagement, human resources
    
Achievers
Published By: Pure Storage     Published Date: Feb 25, 2014
This is a white paper that assumes familiarity with Oracle database administration as well as basic Linux system and storage administration tasks as required for a typical database installation, such as creating partitions and file systems. The Pure Storage Flash Array is ready to run your Oracle database with no changes to your existing configuration. You can realize significant improvements in performance and ease of manageability
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pure storage, oracle, database, flash for oracle, flash for database
    
Pure Storage
Published By: Oracle     Published Date: Apr 26, 2016
Information security attacks are on the rise. And enterprises are highly vulnerable when it comes to databases, where their most critical business information resides. It's time to turn the database, and the infrastructure it runs on, into an information fortress.
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Oracle
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
Published By: Microsoft     Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in
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Microsoft
Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap, sql, query, data warehouse
    
Vertica
Published By: Vertica     Published Date: Aug 16, 2010
The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.
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vertica, ec2, elastic, cloud computing, workflow, benchmark, projections, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
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vertica, ec2, cdr, elastic, saas, dbms, sql, acid transactions
    
Vertica
Published By: Vertica     Published Date: Feb 23, 2010
Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.
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ovum, vertica, analytical databases, dbms, technology audit, mpp, rdbms
    
Vertica
Published By: Hacker Group, Inc.     Published Date: Jan 27, 2012
Finding your specific target has always been the real key to getting great results. Technology now allows marketers to create, maintain and learn from "big data" about their customers and prospects. This paper shows you how.
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database marketing, marketing ideas, marketing plan, marketing tools, integrated marketing, marketing strategy, marketing campaign, strategic marketing
    
Hacker Group, Inc.
Published By: IBM     Published Date: Aug 30, 2010
Adopting an Integrated Data Management strategy can be a highly effective way to help IT support business growth, facilitate data governance and manage costs.
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ibm, back-up, data quality, database management, knowledge and data management, storage management, data management, databases
    
IBM
Published By: Secure Computing     Published Date: Jan 25, 2008
In an environment where business and government databases store ever-increasing amounts of sensitive and confidential data; and where a growing number of employees need to access that data remotely, password security alone is insufficient to ensure user authentication. Two-factor authentication requires two measures for users to verify their identities and access data.
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cell phone, cell phones, wireless security, mobile security, mobile workers, authentication, 2-factor authentication, iam
    
Secure Computing
Published By: NexGen     Published Date: Feb 09, 2015
The nature of the financial services industry places a myriad of international compliance requirements on a company's IT team, as well as an expectation by its customers to deliver the high test levels of performance and reliability. To survive and thrive, businesses in the industry must not only keep pace with customer demand but gain competitive advantage. Those demands mean the IT team must be at the forefront of adopting emerging technologies. This is certainly true for Orangefield Columbus, who recently experienced significant growth in its multiple databases which led to the serious performance degradation of its existing storage system. By focusing on a proactive data management storage array, Orangefield was able to eliminate resource contention. Download now and examine Orangefield's journey to find a solution that would meet, and exceed, their performance and capacity requirements.
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nexgen, vmware, citrix, flash, financial services
    
NexGen
Published By: netForensics     Published Date: Jan 04, 2008
To manage threats to the enterprise and successfully meet compliance challenges, organizations need a comprehensive security strategy that can successfully do battle with inside as well as outside threats. Today, companies are increasingly leveraging security information management (SIM) solutions to build a clean, concise, and manageable process for dealing with the tremendous volumes of raw security information from disparate devices, applications, and databases.
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monitoring, hackers, internal threats, bad employee, identity theft, data protection, hacker, security management
    
netForensics
Published By: Melissa Data     Published Date: Nov 18, 2008
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
    
Melissa Data
Published By: Progress Software Corporation CEP     Published Date: Aug 03, 2009
Forrester Research has named Apama as a standout leader in the complex event processing (CEP) platform market in The Forrester Wave: Complex Event Processing Platforms, Q3 2009 Report. The Report evaluated nine CEP platform vendors based on a comprehensive set of evaluation criteria.
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progress software, idc, complex event processing, apama, business activity monitoring (bam), business process management, bpm, systems and operations management
    
Progress Software Corporation CEP
Published By: Progress Software Corporation CEP     Published Date: Jul 14, 2009
In the transport and logistics market where timing is critical, a matter of minutes can make or break a performance-based contract. Your success will depend on your organization's ability to visualize, monitor and act on internal events and external events that effect your operations.
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progress software, idc, complex event processing, apama, transport, logistics, kpi, greening
    
Progress Software Corporation CEP
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor
    
IBM
Published By: SAP     Published Date: Jul 17, 2012
Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.
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sap, infrastructure, database, data management, white paper, management, storage, business functions
    
SAP
Published By: CDW     Published Date: Aug 28, 2015
ACCELERATE, CONSOLIDATE, AND SIMPLIFY All-Flash Arrays (AFAs) are the preferred choice to accelerate high-performance OLTP and decision support/analytics applications on Oracle and Microsoft SQL Server databases. But not all AFAs are equal. Performance is just one dimension. XtremIO excels in all.
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storage, servers, cloud computing, architecture, convergence, infrastructure
    
CDW
Published By: VMTurbo     Published Date: Mar 25, 2015
An Intelligent Roadmap for Capacity Planning Many organizations apply overly simplistic principles to determine requirements for compute capacity in their virtualized data centers. These principles are based on a resource allocation model which takes the total amount of memory and CPU allocated to all virtual machines in a compute cluster, and assumes a defined level of over provisioning (e.g. 2:1, 4:1, 8:1, 12:1) in order to calculate the requirement for physical resources. Often managed in spreadsheets or simple databases, and augmented by simple alert-based monitoring tools, the resource allocation model does not account for actual resource consumption driven by each application workload running in the operational environment, and inherently corrodes the level of efficiency that can be driven from the underlying infrastructure.
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capacity planning, vmturbo, resource allocation model, cpu, cloud era
    
VMTurbo
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